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Going Along to Get Along: Diplomatic Pressure and Interstate Socialization at the United Nations
Going Along to Get Along: Diplomatic Pressure and Interstate Socialization by Naif Al-Mulla explores how diplomatic pressure shapes global governance at the United Nations. Through rigorous analysis and empirical examples, the book demonstrates how diplomatic pressure influences foreign policy positions and, by extension, global, multilateral outcomes. The work challenges assumptions and provides fresh insight, showcasing the cumulative effect of proactive diplomacy. Ideal for postgraduates, scholars, and policymakers, it offers a comprehensive understanding of how interstate coalitions can strategically mobilize diplomatic pressure to gain wide acceptance of a cause, with far-reaching implications from the United Nations to capitals worldwide.
Learning on Silicon
Learning on Silicon combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. The premise is to construct integrated systems not only loaded with sufficient computational power to handle demanding signal processing tasks in sensory perception and pattern recognition, but also capable of operating autonomously and robustly in unpredictable environments through mechanisms of adaptation and learning. This edited volume covers the spectrum of Learning on Silicon in five parts: adaptive sensory systems, neuromorphic learning, learning architectures, learning dynamics, and learning systems. The 18 chapters are documented with examples of fabricated systems, experimental results from silicon, and integrated applications ranging from adaptive optics to biomedical instrumentation. As the first comprehensive treatment on the subject, Learning on Silicon serves as a reference for beginners and experienced researchers alike. It provides excellent material for an advanced course, and a source of inspiration for continued research towards building intelligent adaptive machines.
Communication Skills That Heal
This book focuses on uncovering and challenging the many myths and fixed images about communication and healing. It hopes to raise awareness, and stimulate, provoke, and offer alternative perspectives that will lead healthcare practitioners to communicate differently with their patients.
Neural Information Processing Systems
Papers comprising this volume were presented at the first IEEE Conference on [title] held in Denver, Co., Nov. 1987. As the limits of the digital computer become apparent, interest in neural networks has intensified. Ninety contributions discuss what neural networks can do, addressing topics that in
The Balancing Act
Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals. The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic ...
Robot Ethics
Explore the profound intersection of technology, morality, and robotics in "Robot Ethics," an essential read in the "Robotics Science" series. This book provides an indepth examination of ethical considerations and regulations surrounding robotics, with each chapter building toward a comprehensive understanding of how ethics and robotics converge. Perfect for professionals, students, and enthusiasts, "Robot Ethics" offers valuable insights for all who are curious about the evolving role of technology in our world. Chapters Brief Overview: 1. Robot ethics: Explores core ethical principles guiding the development of robotics. 2. Robot: Discusses robots’ roles in society and their ethical imp...
Advances in Neural Information Processing Systems 7
November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics, engineering, and theoretical physics, the papers collected in the proceedings of NIPS7 reflect the enduring scientific and practical merit of a broad-based, inclusive approach to neural information processing. The primary focus remains the study of a wide variety of learning algorithms and architectures, for both supervised and unsupervised learning. The 139 contributions are divided into eight parts: Cognitive Science, Neuroscience, Learning ...
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